Task
Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 16 Supervised Classification mfeat-karhunen 18201 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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18201 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.7682, kappa: 0.7439, kb_relative_information_score: 1516.6905, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.769, predictive_accuracy: 0.7695, prior_entropy: 3.3219, recall: 0.7695, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.7742, kappa: 0.7489, kb_relative_information_score: 1529.7056, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7763, predictive_accuracy: 0.774, prior_entropy: 3.3219, recall: 0.774, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.5956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.7868, kappa: 0.7639, kb_relative_information_score: 1592.2124, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7866, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8109, kappa: 0.79, kb_relative_information_score: 1610.183, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8119, predictive_accuracy: 0.811, prior_entropy: 3.3219, recall: 0.811, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.5897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.7692, kappa: 0.745, kb_relative_information_score: 1515.8574, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.77, predictive_accuracy: 0.7705, prior_entropy: 3.3219, recall: 0.7705, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7622, kappa: 0.7361, kb_relative_information_score: 1515.589, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7647, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.3154, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.7894, kappa: 0.7672, kb_relative_information_score: 1568.0649, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7893, predictive_accuracy: 0.7905, prior_entropy: 3.3219, recall: 0.7905, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.5995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.8193, kappa: 0.7994, kb_relative_information_score: 1629.2896, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8205, predictive_accuracy: 0.8195, prior_entropy: 3.3219, recall: 0.8195, relative_absolute_error: 0.2192, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.174, root_relative_squared_error: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.7966, kappa: 0.7739, kb_relative_information_score: 1588.8779, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7972, predictive_accuracy: 0.7965, prior_entropy: 3.3219, recall: 0.7965, relative_absolute_error: 0.2285, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.7838, kappa: 0.76, kb_relative_information_score: 1540.2119, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7852, predictive_accuracy: 0.784, prior_entropy: 3.3219, recall: 0.784, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.7818, kappa: 0.7589, kb_relative_information_score: 1551.2275, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7821, predictive_accuracy: 0.783, prior_entropy: 3.3219, recall: 0.783, relative_absolute_error: 0.2832, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.182, root_relative_squared_error: 0.6068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.7856, kappa: 0.7628, kb_relative_information_score: 1575.2427, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7854, predictive_accuracy: 0.7865, prior_entropy: 3.3219, recall: 0.7865, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.6117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8153, kappa: 0.795, kb_relative_information_score: 1624.8242, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8163, predictive_accuracy: 0.8155, prior_entropy: 3.3219, recall: 0.8155, relative_absolute_error: 0.2179, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.5958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.7715, kappa: 0.7478, kb_relative_information_score: 1533.4993, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7718, predictive_accuracy: 0.773, prior_entropy: 3.3219, recall: 0.773, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.6097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.7752, kappa: 0.75, kb_relative_information_score: 1531.9337, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7773, predictive_accuracy: 0.775, prior_entropy: 3.3219, recall: 0.775, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.792, kappa: 0.7706, kb_relative_information_score: 1559.8715, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7922, predictive_accuracy: 0.7935, prior_entropy: 3.3219, recall: 0.7935, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.6014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.805, kappa: 0.7833, kb_relative_information_score: 1596.2716, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8065, predictive_accuracy: 0.805, prior_entropy: 3.3219, recall: 0.805, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.5781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.7915, kappa: 0.77, kb_relative_information_score: 1560.2283, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7922, predictive_accuracy: 0.793, prior_entropy: 3.3219, recall: 0.793, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.6004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8179, kappa: 0.7983, kb_relative_information_score: 1620.39, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.818, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.6351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8182, kappa: 0.7989, kb_relative_information_score: 1628.8007, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8187, predictive_accuracy: 0.819, prior_entropy: 3.3219, recall: 0.819, relative_absolute_error: 0.2105, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8037, kappa: 0.7822, kb_relative_information_score: 1601.8049, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8048, predictive_accuracy: 0.804, prior_entropy: 3.3219, recall: 0.804, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.5781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8077, kappa: 0.7867, kb_relative_information_score: 1606.572, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8089, predictive_accuracy: 0.808, prior_entropy: 3.3219, recall: 0.808, relative_absolute_error: 0.2394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.5761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.7839, kappa: 0.7606, kb_relative_information_score: 1573.95, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.784, predictive_accuracy: 0.7845, prior_entropy: 3.3219, recall: 0.7845, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8174, kappa: 0.7972, kb_relative_information_score: 1630.0705, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8184, predictive_accuracy: 0.8175, prior_entropy: 3.3219, recall: 0.8175, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.7915, kappa: 0.7689, kb_relative_information_score: 1586.1446, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7918, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.2453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.6093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8075, kappa: 0.7861, kb_relative_information_score: 1604.5473, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8093, predictive_accuracy: 0.8075, prior_entropy: 3.3219, recall: 0.8075, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.5763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.7828, kappa: 0.7594, kb_relative_information_score: 1576.7039, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7827, predictive_accuracy: 0.7835, prior_entropy: 3.3219, recall: 0.7835, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.6087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.7937, kappa: 0.7711, kb_relative_information_score: 1563.902, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7948, predictive_accuracy: 0.794, prior_entropy: 3.3219, recall: 0.794, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.5876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.7948, kappa: 0.7722, kb_relative_information_score: 1566.6417, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7961, predictive_accuracy: 0.795, prior_entropy: 3.3219, recall: 0.795, relative_absolute_error: 0.2724, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8054, kappa: 0.7839, kb_relative_information_score: 1600.8626, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8064, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.2436, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.7849, kappa: 0.7617, kb_relative_information_score: 1548.8084, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7852, predictive_accuracy: 0.7855, prior_entropy: 3.3219, recall: 0.7855, relative_absolute_error: 0.2906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.5887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.7899, kappa: 0.7667, kb_relative_information_score: 1554.9018, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7903, predictive_accuracy: 0.79, prior_entropy: 3.3219, recall: 0.79, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.5879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.7913, kappa: 0.7689, kb_relative_information_score: 1581.0019, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.791, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.6041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8202, kappa: 0.8006, kb_relative_information_score: 1633.1645, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8208, predictive_accuracy: 0.8205, prior_entropy: 3.3219, recall: 0.8205, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.5986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8107, kappa: 0.79, kb_relative_information_score: 1607.6421, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8118, predictive_accuracy: 0.811, prior_entropy: 3.3219, recall: 0.811, relative_absolute_error: 0.2387, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.772, kappa: 0.7478, kb_relative_information_score: 1531.8808, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7728, predictive_accuracy: 0.773, prior_entropy: 3.3219, recall: 0.773, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.6062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.7622, kappa: 0.7361, kb_relative_information_score: 1516.8441, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7647, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.3146, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.6004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.7605, kappa: 0.7344, kb_relative_information_score: 1510.203, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7626, predictive_accuracy: 0.761, prior_entropy: 3.3219, recall: 0.761, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.6015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.7928, kappa: 0.77, kb_relative_information_score: 1566.6302, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7944, predictive_accuracy: 0.793, prior_entropy: 3.3219, recall: 0.793, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.5873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.798, kappa: 0.7761, kb_relative_information_score: 1597.2934, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.798, predictive_accuracy: 0.7985, prior_entropy: 3.3219, recall: 0.7985, relative_absolute_error: 0.2281, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.6237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.8021, kappa: 0.78, kb_relative_information_score: 1589.3156, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8035, predictive_accuracy: 0.802, prior_entropy: 3.3219, recall: 0.802, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.177, root_relative_squared_error: 0.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8143, kappa: 0.7939, kb_relative_information_score: 1617.4093, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8151, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.5843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.7742, kappa: 0.7489, kb_relative_information_score: 1530.0821, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7763, predictive_accuracy: 0.774, prior_entropy: 3.3219, recall: 0.774, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.5963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.7886, kappa: 0.7667, kb_relative_information_score: 1558.1915, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7886, predictive_accuracy: 0.79, prior_entropy: 3.3219, recall: 0.79, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.6051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.771, kappa: 0.7456, kb_relative_information_score: 1524.7106, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7733, predictive_accuracy: 0.771, prior_entropy: 3.3219, recall: 0.771, relative_absolute_error: 0.3098, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.5981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.7844, kappa: 0.7611, kb_relative_information_score: 1547.1772, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7847, predictive_accuracy: 0.785, prior_entropy: 3.3219, recall: 0.785, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.7851, kappa: 0.7622, kb_relative_information_score: 1572.3177, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7851, predictive_accuracy: 0.786, prior_entropy: 3.3219, recall: 0.786, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.6055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.7697, kappa: 0.7456, kb_relative_information_score: 1519.7574, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7703, predictive_accuracy: 0.771, prior_entropy: 3.3219, recall: 0.771, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8135, kappa: 0.7928, kb_relative_information_score: 1623.9941, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8147, predictive_accuracy: 0.8135, prior_entropy: 3.3219, recall: 0.8135, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.5878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.7966, kappa: 0.7744, kb_relative_information_score: 1595.2173, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7968, predictive_accuracy: 0.797, prior_entropy: 3.3219, recall: 0.797, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.6007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.772, kappa: 0.7478, kb_relative_information_score: 1529.6901, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7728, predictive_accuracy: 0.773, prior_entropy: 3.3219, recall: 0.773, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.6071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.7942, kappa: 0.7717, kb_relative_information_score: 1568.5511, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7951, predictive_accuracy: 0.7945, prior_entropy: 3.3219, recall: 0.7945, relative_absolute_error: 0.2704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.7768, kappa: 0.7533, kb_relative_information_score: 1542.0294, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7775, predictive_accuracy: 0.778, prior_entropy: 3.3219, recall: 0.778, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.6083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.7914, kappa: 0.7694, kb_relative_information_score: 1570.7968, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7913, predictive_accuracy: 0.7925, prior_entropy: 3.3219, recall: 0.7925, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.7616, kappa: 0.7356, kb_relative_information_score: 1515.5165, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7643, predictive_accuracy: 0.762, prior_entropy: 3.3219, recall: 0.762, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.7702, kappa: 0.7461, kb_relative_information_score: 1521.0506, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7708, predictive_accuracy: 0.7715, prior_entropy: 3.3219, recall: 0.7715, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.6142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.7702, kappa: 0.7461, kb_relative_information_score: 1520.5609, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7708, predictive_accuracy: 0.7715, prior_entropy: 3.3219, recall: 0.7715, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.6125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.7741, kappa: 0.7506, kb_relative_information_score: 1536.553, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7743, predictive_accuracy: 0.7755, prior_entropy: 3.3219, recall: 0.7755, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.7947, kappa: 0.7722, kb_relative_information_score: 1569.4553, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.796, predictive_accuracy: 0.795, prior_entropy: 3.3219, recall: 0.795, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.7888, kappa: 0.7656, kb_relative_information_score: 1584.2927, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7888, predictive_accuracy: 0.789, prior_entropy: 3.3219, recall: 0.789, relative_absolute_error: 0.2378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.187, root_relative_squared_error: 0.6234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.785, kappa: 0.7617, kb_relative_information_score: 1547.4215, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7853, predictive_accuracy: 0.7855, prior_entropy: 3.3219, recall: 0.7855, relative_absolute_error: 0.2913, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.5913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.7982, kappa: 0.7767, kb_relative_information_score: 1586.2148, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7996, predictive_accuracy: 0.799, prior_entropy: 3.3219, recall: 0.799, relative_absolute_error: 0.2558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.5864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.7929, kappa: 0.7694, kb_relative_information_score: 1563.2047, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7946, predictive_accuracy: 0.7925, prior_entropy: 3.3219, recall: 0.7925, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.5846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.7822, kappa: 0.7583, kb_relative_information_score: 1539.3929, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7836, predictive_accuracy: 0.7825, prior_entropy: 3.3219, recall: 0.7825, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.5922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.7823, kappa: 0.7594, kb_relative_information_score: 1551.1637, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7826, predictive_accuracy: 0.7835, prior_entropy: 3.3219, recall: 0.7835, relative_absolute_error: 0.2844, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.7826, kappa: 0.7589, kb_relative_information_score: 1540.0531, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7839, predictive_accuracy: 0.783, prior_entropy: 3.3219, recall: 0.783, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.771, kappa: 0.7456, kb_relative_information_score: 1523.7308, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7733, predictive_accuracy: 0.771, prior_entropy: 3.3219, recall: 0.771, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.5985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.7747, kappa: 0.7494, kb_relative_information_score: 1531.6282, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7769, predictive_accuracy: 0.7745, prior_entropy: 3.3219, recall: 0.7745, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.7909, kappa: 0.7689, kb_relative_information_score: 1571.5216, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7911, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.6041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.7658, kappa: 0.7411, kb_relative_information_score: 1512.829, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7673, predictive_accuracy: 0.767, prior_entropy: 3.3219, recall: 0.767, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.184, root_relative_squared_error: 0.6132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.7929, kappa: 0.7694, kb_relative_information_score: 1560.9949, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7946, predictive_accuracy: 0.7925, prior_entropy: 3.3219, recall: 0.7925, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.5863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.7923, kappa: 0.7706, kb_relative_information_score: 1571.2158, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7922, predictive_accuracy: 0.7935, prior_entropy: 3.3219, recall: 0.7935, relative_absolute_error: 0.2635, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.7622, kappa: 0.7361, kb_relative_information_score: 1515.8816, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7647, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.6016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.7992, kappa: 0.7772, kb_relative_information_score: 1593.3895, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8006, predictive_accuracy: 0.7995, prior_entropy: 3.3219, recall: 0.7995, relative_absolute_error: 0.2501, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.7938, kappa: 0.7706, kb_relative_information_score: 1561.3658, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7954, predictive_accuracy: 0.7935, prior_entropy: 3.3219, recall: 0.7935, relative_absolute_error: 0.281, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.5863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8183, kappa: 0.7983, kb_relative_information_score: 1627.3424, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8187, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.6042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.7838, kappa: 0.76, kb_relative_information_score: 1540.0769, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7854, predictive_accuracy: 0.784, prior_entropy: 3.3219, recall: 0.784, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.7844, kappa: 0.7611, kb_relative_information_score: 1579.5205, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7845, predictive_accuracy: 0.785, prior_entropy: 3.3219, recall: 0.785, relative_absolute_error: 0.2489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.6156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7819, kappa: 0.7583, kb_relative_information_score: 1567.1963, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7822, predictive_accuracy: 0.7825, prior_entropy: 3.3219, recall: 0.7825, relative_absolute_error: 0.2596, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.6153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.7855, kappa: 0.7622, kb_relative_information_score: 1548.102, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7859, predictive_accuracy: 0.786, prior_entropy: 3.3219, recall: 0.786, relative_absolute_error: 0.2919, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.7839, kappa: 0.76, kb_relative_information_score: 1540.4184, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7855, predictive_accuracy: 0.784, prior_entropy: 3.3219, recall: 0.784, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.7997, kappa: 0.7778, kb_relative_information_score: 1590.326, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8007, predictive_accuracy: 0.8, prior_entropy: 3.3219, recall: 0.8, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.176, root_relative_squared_error: 0.5866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.7943, kappa: 0.7722, kb_relative_information_score: 1593.074, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7943, predictive_accuracy: 0.795, prior_entropy: 3.3219, recall: 0.795, relative_absolute_error: 0.2267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.189, root_relative_squared_error: 0.6301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.7928, kappa: 0.7711, kb_relative_information_score: 1575.4782, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7926, predictive_accuracy: 0.794, prior_entropy: 3.3219, recall: 0.794, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.6011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.7858, kappa: 0.7633, kb_relative_information_score: 1559.2572, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7857, predictive_accuracy: 0.787, prior_entropy: 3.3219, recall: 0.787, relative_absolute_error: 0.2723, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.6081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.7905, kappa: 0.7689, kb_relative_information_score: 1562.4345, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7907, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.6016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.7818, kappa: 0.7589, kb_relative_information_score: 1550.0371, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7822, predictive_accuracy: 0.783, prior_entropy: 3.3219, recall: 0.783, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.7773, kappa: 0.7539, kb_relative_information_score: 1539.3485, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7779, predictive_accuracy: 0.7785, prior_entropy: 3.3219, recall: 0.7785, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.6089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.7913, kappa: 0.7678, kb_relative_information_score: 1559.4537, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7931, predictive_accuracy: 0.791, prior_entropy: 3.3219, recall: 0.791, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.7615, kappa: 0.7356, kb_relative_information_score: 1496.4223, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.763, predictive_accuracy: 0.762, prior_entropy: 3.3219, recall: 0.762, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.6196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.7833, kappa: 0.7594, kb_relative_information_score: 1539.4362, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7849, predictive_accuracy: 0.7835, prior_entropy: 3.3219, recall: 0.7835, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.5921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8083, kappa: 0.7872, kb_relative_information_score: 1606.6521, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8092, predictive_accuracy: 0.8085, prior_entropy: 3.3219, recall: 0.8085, relative_absolute_error: 0.2249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.18, root_relative_squared_error: 0.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.792, kappa: 0.7706, kb_relative_information_score: 1560.2478, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7927, predictive_accuracy: 0.7935, prior_entropy: 3.3219, recall: 0.7935, relative_absolute_error: 0.2779, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.6013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.7702, kappa: 0.7461, kb_relative_information_score: 1521.2467, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7708, predictive_accuracy: 0.7715, prior_entropy: 3.3219, recall: 0.7715, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.6114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7752, kappa: 0.75, kb_relative_information_score: 1532.8119, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7773, predictive_accuracy: 0.775, prior_entropy: 3.3219, recall: 0.775, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.178, root_relative_squared_error: 0.5933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.7625, kappa: 0.7361, kb_relative_information_score: 1518.375, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7652, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.6022,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs